Yichen Bao, Ying Yu, Rongjing Ni, Chun Li, Peng Chen, and Yusong Teng.
Based on multiple linear regression differential equation, the study of training metabolic cycle of soccer players to improve their performance was analyzed scientifically
Dynamic Systems and Applications 29 (2020) No. 4, 1103 – 1110
https://doi.org/10.46719/dsa20202947
ABSTRACT.
As the world’s first sport, football has a huge influence in the world, and the number of fans is far more than other sports. There are many factors that affect the ability of football players. Among them, physical movement ability, heart rate, judgment ability and so on can make the result of football match extremely uncertain and make football more attractive to watch. However, China’s achievements in football have been unsatisfactory in recent years, which is largely due to the players. The specific reason may be due to the tactical coordination, or it may be due to the physical aspects of the players. So as to help improve the level of Chinese players, so that they can achieve better results in international competitions, we need to continue to innovate in training. Further research on its internal characteristics will help the training team to master its internal rules so that the training will become more scientific and efficient. Research of this paper will mainly focus on cardiopulmonary function test, the current has larger error of heart and lung function testing, and so on the linear regression equation based on particle swarm into them detection approach is necessary, by this way the players of the oxygen consumption and carbon dioxide discharge calculation of the corresponding as cardiopulmonary corresponding level evaluation standard for the player, summarizes that the corresponding detection model, as well as the defects of the multiple linear regression equation for the corresponding optimization, in the middle of the particle swarm algorithm to complete the most accurate calculation, by its relative error is reduced to the smallest category. Through relevant experiments, it was foundthat this method was of great help to improve the heart-lung level of Chinese players, and the modeling accuracy was also the highest.
Keywords: Multiple linear regression equation; Football player; The metabolic cycle